Contents of this book - WSEAS

MATHEMATICAL METHODS for 

INFORMATION SCIENCE and 

ECONOMICS 

Proceedings of the 17th WSEAS International Conference on Applied 

Mathematics (AMATH '12) 

Proceedings of the 3rd European Conference for the Applied 

Mathematics and Informatics (AMATHI '12) 

Proceedings of the 3rd International Conference on Design and 

Product Development (ICDPD '12) 

Proceedings of the 3rd International Conference on Finance and 

Accounting (ICFA '12) 

Proceedings of the 3rd International Conference on Business 

Administration (ICBA '12) 

Montreux, Switzerland 

December 29-31, 2012 

Published by WSEAS Press 

www.wseas.org 

ISBN: 978-1-61804-148-7



ECONOMICS 












December 29-31, 2012 

Published by WSEAS Press 

www.wseas.org 

Copyright © 2012, by WSEAS Press 

All the copyright of the present book belongs to the World Scientific and Engineering Academy and 

Society Press. All rights reserved. No part of this publication may be reproduced, stored in a retrieval 

system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or 

otherwise, without the prior written permission of the Editor of World Scientific and Engineering Academy 

and Society Press. 

All papers of the present volume were peer reviewed by no less that two independent reviewers. 

Acceptance was granted when both reviewers' recommendations were positive. 

See also: http://www.worldses.org/review/index.html 

ISBN: 978-1-61804-148-7 

World Scientific and Engineering Academy and Society 

North Atlantic University Union



ECONOMICS 












December 29-31, 2012

Editors: 

Prof. Nikos Mastorakis, Technical University of Sofia, Bulgaria 

Prof. Elena Zaitseva, University of Zilina, Slovakia 

Prof. Dragan Randjelovic, The Academy of Criminalistic and Police Studies, Serbia 

Prof. Kevin Kam Fung Yuen, Xi'an Jiaotong-Liverpool University, China 

Prof. Claudia-Georgeta Carstea, George Baritiu University, Romania 

Prof. Sorinel Capusneanu, Artifex University, Romania 

Prof. Alin Larion, Ovidius University of Constanta, Romania 

Scientific Committee-Reviewers: 

Gabriella Bognar 

Libuse Svobodova 

Yang Zhang 

Hsien-Lun Wong Alan 

Carlos Rivas-Echeverria 

Marida Dossena 

Anel Tanovic 

Katerina Struharova 

Daniela Litan 

Zakaria Zubi 

Petr Hajek 

Stoican Mirela 

Jose Manuel Mesa Fernández 

Maria Dobritoiu 

Zengshi Chen 

Marios Soteriades 

Petr Seda 

Navaneethakrishnan Kengatharan 

Nikos Loukeris 

Mihail Negulescu 

Capusneanu Sorinel 

Mihai Tiberiu Lates 

Avijit Maji 

Tiberiu Socaciu 

Armin Najarpour Foroushani 

Lapo Governi 

Panagiotis Gioannis 

Amin Daneshmand Malayeri 

Joao Bastos 

Kannan K 

Ioana Adrian 

Lukas Melecky 

Narendra Singh Yadav 

Snezhana Georgieva Gocheva-Ilieva 

U. C. Jha 

Petras Rupsys 

Roman Mihai Daniel 

Takuya Yamano 

Muhammad Fiaz Muhammad Fiaz 

Katerina Dvorokova 

Vasile Cojocaru 

José António Porfírio 

Daniel Belingher 

Kandarpa Kumar Sarma 

Adina Andreea Ohota 

Yilun Shang 

Larion Alin 

Prashant Verma 

Muhammet Koksal 

Ibrahim Canak 

Remus Ionut Naghi 

Humberto Varum 

Aw Yoke Cheng 

Claudia-Georgeta Carstea 

Elena Zaitseva 

Mioara Chirita 

Sabir Ali 

Tsvetelina Draganova 

Konstantin Volkov 

Pedro Nucci 

Ricardo Gouveia Rodrigues 

Corina Sbughea 

Shiang-Yen Tan 

Zailan Siri 

Alejandro Fuentes-Penna 

Arianit Maraj 

Claudiu Mereuta 

Paresh Rathod 

Paulo Avila 

Dery Abdurrachim 

Hamideh Eskandari 

Hung-Jen Yang 

Jana Vodakova 

Mohammad Firoj Mithani 

Saurabh Kwatra 

Ahmed Zeeshan 

Sorin Gherghinescu 

Vladan Holcner 

Bhagwati Prasad 

Dragolea Larisa Dragolea 

Nagaraj S.V. 

Monica Ciobanu 

Bharathi P. T 

Morale Terry 

Grabara Janusz 

Alina Adriana Minea 

Mihaela-Carmen Muntean 

Sk. Sarif Hassan 

Yi-Chao Wu 

Thaweesak Yingthawornsuk 

Michaela Stanickova 

Guido Izuta 

Mirela Stoican 

Roots Larissa 

Camelia Ariesanu 

Chunwei, Lu Wini Lu

Julian Pucheta 

Chunwei Lu 

Miguel Angel Vigil Berrocal 

Ivan Pogarcic 

Isaac Yeboah 

João Bastos 

Mihaela Neamtu 

Usama Awan 

Yuqing Zhou 

Yixin Bao 

Jianqinag Gao 

Jose Luis Vazquez-Burguete 

Miroslav Voznak 

Vipul Arvindbhai Shah 

Bautu Elena 

Noor Fadiya Mohd Noor 

Yong Kheng Goh 

Anca Croitoru 

Elena Scutelnicu 

Nelson Duarte 

Huashui Zhan Zhan 

Gabriela Mircea 

Hime Aguiar 

Jiri Strouhal 

Md. Shamim Akhter 

Poom Kumam 

Dragan Randjelovic 

Luis Loures 

Arion Felix 

Mihaiela Iliescu 

Carla Pinto 

David Vallejo 

Stavros Ponis 

Andrei Jean Vasile 

Slaby Antonin Slaby 

Dumitru-Alexandru Bodislav 

Miao Wang 

Alexandru Filip 

Dana Anderson 

Svetla Vassileva 

Andrei Madalina-Teodora 

Dana Simian 

Vassos Vassiliou 

Ana Barreira 

Emmanuel Lopez-Neri 

Magdalena Grębosz 

Matteo Palai 

Yin-Tsuo Huang 

Abdel-Badeeh Salem 

Calin Ciufudean 

Daniela Cristina Momete 

Guoxiang Liu 

José Farinha 

Maria Wenisch 

Ricardo Bustillo 

Nitish Gupta 

Yancho Todorov 

Zanariah Abdul Majid

Mathematical Methods for Information Science and Economics 

Table of Contents 

Keynote Lecture 1: Kronecker Power Series in Quantum Mechanical Probabilistic Evolution 

Approach: Managing Arbitrariness in Spectral Issues of the Propagation Superoperator 

Metin Demiralp 

12 

Plenary Lecture 1: Petri Nets Saliency Models of Multiple Biological Sequences 14 

Calin I. Ciufudean 

Plenary Lecture 2: One Hexagonal Systolic Array Synthesized on the Adaptable Algorithm 15 

Dragan Randjelović 

Plenary Lecture 3: Evolutionary Algebraic Prediction of Short Time Series 16 

Minvydas Ragulskis 

Plenary Lecture 4: Reduction Method for the Solution of Weakly Singular Integro-Differential 

Equations 

Iurie Caraus 

17 

Plenary Lecture 5: Robust Video Object Detection and Tracking Techniques 18 

Tudor Barbu 

Plenary Lecture 6: Exploring The Effects of Task Difficulty and Team Diversity on Team 

Creativity: A Multi-Agent Simulation Approach 

Kun Chang Lee 

19 

Astro-Atomic Unitless 21 

Claude Ziad Bayeh, Nikos E. Mastorakis 

One Hexagonal Systolic Array Synthesized on the Adaptable Algorithm 27 


Object Functions of 2D Static Systolic Arrays for Matrix Multiplication 33 


Pointwise Measurable Multifunctions 37 

Anca Croitoru, Cristian Vaideanu 

Explicit Expression of Limit Cycles of Planar Systems with Desired Periods 43 

Khalil Al-Dosary 

New Heuristic Function in Ant Colony System for Job Scheduling in Grid Computing 47 

Ku Ruhana Ku-Mahamud, Mustafa Muwafak Alobaedy 

Algebraic Evolutionary Forecasting of Short Time Series 53 

Rita Palivonaite, Jurate Ragulskiene, Algimantas Fedaravicius, Minvydas Ragulskis 

ISBN: 978-1-61804-148-7 7


Collaboration of Integrative Processes Intermediaries Supporting Supply Chain Management 59 

Mohd Izzuddin Mohd Tamrin, Tengku Mohd Tengku Sembok 

An Inverse Flux Problem for Plug-Flow Reactor Diffusion Equations 65 

Shin-Ichi Nakagiri 

The Determination of a Maximal Chain in an Undirected Graph 73 

F. Ghionea, M. Pirvan 

Improving Trading Strategies by Optimizing the Weighted Combination of Different Trading 

Strategies 

Wongsakorn Nitisopa, Gun Srijuntongsiri 

79 

Experimental Validation of Theoretical Model for Centric Dumped Collision between Two Balls 84 

Stelian Alaci, Florina Ciornei, Călin Ciufudean, Constantin Filote, IonuŃ Românu 

Critical Aspects Regarding the Integration of a Low Cost Up-grade Architecture in High- 

Technology Assets for Defense 

Vasile Şandru, Marius Radulescu, Calin Ciufudean, Elena Corina Boscoianu 

89 

The Spatial - Temporal Evolution of Iron Dispersion in "River-type" Systems 95 

Galina Marusic, Constantin Filote, Calin Ciufudean 

Numerical Study on Microscale Flow in Macro Geometries 99 

Kian Shing Kong, Kim Tiow Ooi 

Rectangular Base Function 105 

Claude Ziad Bayeh, Nikos E.Mastorakis 

On the Construction Test Equations and Its Applying to solving Volterra Integral Equation 109 

G. Yu. Mehdiyeva, M. N. Imanova, V. R. Ibrahimov 

Elliptic Jes Window Form 1 115 

Claude Ziad Bayeh, Nikos E. Mastorakis 

Synchrony Detection and Characterization of Epileptic Brain Signals 121 

Francesco Ricci, Roberto Tonelli, Giulio Concas 

Cubic Spline Collocation for a Class of Weakly Singular Fredholm Integral Equations and 

Corresponding Eigenvalue Problem 

Arvet Pedas, Mikk Vikerpuur 

127 

Recovery Oriented Software Reliability Model with Fault Fixing and Treatment Processes 133 

S. Chandrasekaran, A. Vinodhini, A. Soorya Nivedha 

ISBN: 978-1-61804-148-7 8


Removal of Inequality Constraints in Optimal Control 139 

Javier F. Rosenblueth 

Novel Pattern-Based Fingerprint Recognition Technique Using 2D Wavelet Decomposition 145 

Tudor Barbu 

Negative Second Variations for Problems with Inequality Control Constraints 150 

Javier F. Rosenblueth, Gerardo Sanchez Licea 

SVM-Based Human Cell Detection Technique Using Histograms of Oriented Gradients 156 

Tudor Barbu 

Access Control Technique of Illegal Harmful Contents for Child Online Protection 161 

Namje Park 

Incremental Continuous Ant Colony Optimization Technique for Support Vector Machine 

Model Selection Problem 

Hiba Basim Alwan, Ku Ruhana Ku-Mahamud 

Input = Certain Past, Output = Probable Future : From the Conditioned Probability Concept to 

Probabilistic Prediction Tools 

Silvano Mussi 

165 

171 

A Hybrid Metaheuristic Model for Job Shop Rescheduling Problem 177 

Aniza Mohamed Din, Ku Ruhana Ku Mahamud, Yuhanis Yusof, Massudi Mahmuddin 

MS Excel as Tool for Modeling, Dynamic Simulation and Visualization of Mathematical 

Functions 

Marie Hubalovska, Stepan Hubalovsky 

183 

Fuzzy Consensus Algorithms for Mobile Ad Hoc Networks Flocking 189 

D. P. Iracleous, T. Dovras, I. Neokosmidis, O. B. Efremidis 

A Fast Incremental PCA Algorithm for Biometric Security-Dorsal Hand Vein Biometric 195 

Naushad Ali Mamode Khan, Maleika Heenaye-Mamode Khan 

Privacy Evaluation Model for Personal Cloud Service 200 

Sang-Ho Na, Eui-Nam Huh 

Modeling for Congestion Prediction in Wireless Sensor Network Using Traffic Demands 

Analysis 

Ga-Won Lee, Sang-Ho Na, Eui-Nam Huh 

A Comparison of Wavelet and Curvelet for Lung Cancer Diagnosis with a New Cluster K- 

Nearest Neighbor Classifier 

Hamada R. H. Al-Absi, Brahim Belhaouari Samir 

206 

212 

ISBN: 978-1-61804-148-7 9


Database Explorer as an Effective Unifying Tool for Various Database Systems Management 218 

Peter Janků, Pavel Vařacha, Jan Kolek 

A Computation Time Comparison of Self-Organising Migrating Algorithm in Java and C# 222 

Jan Kolek, Pavel Vařacha, Roman Jašek 

Strategic, Knowledge-Based Application Portfolio Management in a Large Organization 228 

Antonio Ballarin, Spartaco Coletta, Marco Di Francesco, Giulio Concas 

Modelling TCP Delay in IEEE 802.11 Multi-Hop Wireless Ad Hoc Networks 234 

Suhaidi Hassan, Adib M.Monzer Habbal, Mohd. Hasbullah Omar, Ahmad Suki Che Mohamed Arif 

Design and Machining Control via Interoperable Function Blocks and STEP-NC Data Model 239 

D. M. Elias, Yusri Yusof, M. Minhat 

Study of Fluid Flow into the Jet along a Plane Wall 245 

Olaru Ionel 

Studies Regarding Generation of Aesthetics Surfaces with Mechanisms 249 

Liliana Luca, Iulian Popescu, Stefan Ghimisi 

Methods for Valuation of a Target Company at the M&A Market 255 

Jaroslav Sedláček, Alois Konečný, Zuzana Křížová 

Informal Venture Capital in the Czech Republic: An Empirical Study 261 

Marek Zinecker, David Koppitz, Mária Režňáková 

Analysing Eastern European Emerging Markets Using a T-GARCH and E-GARCH Model 267 

Jose Maria Cardona, Jordi Andreu, Sebastian Cano 

Dashboard, Tool for Monitoring and Measuring the Performances of Entities within Mining 

Extractive 

Sorinel Capusneanu, Ileana Sorina (Rakos) Boca, Cristian-Marian Barbu 

Establishing the Spillover of Pro-Environmental Behaviour Phenomenon Using Structural 

Equation Modelling Analysis 

Nik Ramli Nik Abd Rashid, Noor Sharida Badri Shah, Mohammad Ismail 

SolidarCity Policy Group – Policies Affecting Employment and Entrepreneurship in Towns and 

Cities 

Rares Halbac-Cotoara-Zamfir, Maria Krimnianioti, Andres Coca-Stefaniak, Ojay Mcdonald 

274 

280 

286 

The Cross-Level Organizational Value-chain Forming and Dynamic Coopetition 292 

Jang-Ji Chang, Yu-Chuan Lin 

Comparative Analysis on Industry Operating Performance Efficiency 298 

Fader Abdullah, Ahmad Ismail, Ku Ruhana Ku-Mahamud, Maznah Mat Kasim 

ISBN: 978-1-61804-148-7 10


Organizational Commitment at the Level of the Companies from the Western Region of 

Romania 

Remus IonuŃ Naghi, Iulia Para 

304 

Risk Based Decision Making for Infrastructure Systems 310 

Yiannis Xenidis, Sofia Sarri 

The Role of Modularity and Absorptive Capacity in the Context of Information Systems 

Outsourcing 

Shahzada Benazeer, Alain De Beuckelaer, Jan Verelst, Herwig Mannaert, Philip Huysmans 

316 

Does Corporate Strategy Need a Theoretical Update in Light of the Evolution of ICT? 326 

José António Porfírio 

Authors Index 333 

ISBN: 978-1-61804-148-7 11


Keynote Lecture 1 

Kronecker Power Series in Quantum Mechanical Probabilistic Evolution Approach: 

Managing Arbitrariness in Spectral Issues of the Propagation Superoperator 

Professor Metin Demiralp 

Resigned Principal Member of Turkish Academy of Sciences 

Istanbul Technical University 

Informatics Institute Istanbul 

TURKEY 

E-mail: metin.demiralp@gmail.com 

Abstract: Recently we have started to use Kronecker power series instead of the multivariate Taylor series, in the 

formulation of the “Probabilistic Evolution Approach (PEA)” to ODEs, Quantum Expectation Value Dynamics, and, 

Classical Statistical Mechanics within the perspective of Liouville equation, density and partition functions. The basic 

idea has been to expand the unknown entities in terms of Kronecker powers of a vector describing the system under 

consideration. This system vector is either composed of the temporally varying unknowns in the case of ODEs or 

certain operators’ expectation values varying in time for the other cases. The Kronecker powers of the state vector (or 

their expec tation values in the case of Quantum Mechanics or Classical Statistical Mechanics) have been considered 

as the basis set elements and certain ODEs for each of them have been constructed. The result in all cases (for 

ODEs, Quantum Expectation Values, Statistical Mechanical Expectation Values) was a first order linear 

homogeneous infinite vector ODE with generally initial value impositions, such that the coefficient matrix (we call 

“Evolution Matrix) for this infinite explicit vector ODE was a constant infinite square matrix. The formal analytical 

solution of this infinite vector ODE can be obtained and requires the evaluation of an exponential matrix varying in 

time whose proportionality coefficient is the Evolution Matrix. This evaluation is facilitated when the evolution matrix 

(which is in upper block Hessenberg form most generally) becomes block triangular because of certain limitations in 

the system. Triangularity makes the spectral analyses quite simple. Beyond that, the case of multinomiality where the 

Evolution Matrix has the main diagonal and its few upper neighbor diagonals as the nonvanishing substructures, 

enables to use the finite order block recursions to get solution to PEA equations. 

The case of conicality is the simplest form of the multinomiality and corresponds to two term block recursions whose 

solutions can be analytically constructed as infinite series of the initial values of the Kronecker powers of the state 

vector or its expectation values. In fact all multinomial cases can be converted to two term block recursions via 

appropriate order reductive manipulations. 

What we have told above is somehow the review of the last year developments of the “Probabilistic Evolution Theory” 

and it will be kept sufficiently comprehensive but, at the same time, sufficiently short during the presentation. The 

remaining part is completely new and based on recently developed issues. The Kronecker powers of the state 

vector(s) contain certain number of identicalities or linear dependences as the price of the brevity in the relevant 

multivariate representation. These can be in fact reflected to the Kronecker power series coefficients as certain level 

of arbitrarinesses. These arbitrarinesses can be expressed in terms of certain flexible parameters which can be 

determined as what we want to obtain, of course, within certain limitations. 

A special emphasis will be given on the commutator algebra over the state vector’s Kronecker powers. The 

propagation superoperator acting on an operator to give the time variant exponential function image of the operator’s 

commutator with the Hamiltonian. The construction of certain eigenoperators of the propagation superoperator will be 

explained in the perspective of the Kronecker power series and the management of the arbitrariness appearing there. 

Brief Biography of the Speaker: Metin Demiralp was born in T¨urkiye (Turkey) on 4 May 1948. His education from 

elementary school to university was entirely in Turkey. He got his BS, MS degrees and PhD from the same institution, 

ÿIstanbul Technical University. He was originally chemical engineer, however, through theoretical chemistry, applied 

mathematics, and computational science years he was mostly working on methodology for computational sciences 

and he is continuing to do so. He has a group (Group for Science and Methods of Computing) in Informatics Institute 

of ÿIstanbul Technical University (he is the founder of this institute). He collaborated with the Prof. Herschel A. 

Rabitz’s group at Princeton University (NJ, USA) at summer and winter semester breaks during the period 1985– 

2003 after his 14 month long postdoctoral visit to the same group in 1979–1980. He was also (and still is) in 

ISBN: 978-1-61804-148-7 12


collaboration with a neuroscience group at the Psychology Department in the University of Michigan at Ann Arbour in 

last three years (with certain publications in journals and proceedings). 

Metin Demiralp has more than 90 papers in well known and prestigious scientific journals, and, more than 200 

contributions to the proceedings of various international conferences. He gave many invited talks in various 

prestigious scientific meetings and academic institutions. He has a good scientific reputation in his country and he 

was one of the principal members of Turkish Academy of Sciences since 1994. He has resigned on June 2012 

because of the governmental decree changing the structure of the academy and putting politicial influence possibility 

by bringing a member assignation system. Metin Demiralp is also a member of European Mathematical Society. He 

has also two important awards of turkish scientific establishments. 

The important recent foci in research areas of Metin Demiralp can be roughly listed as follows: Probabilistic Evolution 

Method in Explicit ODE Solutions and in Quantum and Liouville Mechanics, Fluctuation Expansions in Matrix 

Representations, High Dimensional Model Representations, Space Extension Methods, Data Processing via 

Multivariate Analytical Tools, Multivariate Numerical Integration via New Efficient Approaches, Matrix 

Decompositions, Multiway Array Decompositions, Enhanced Multivariate Product Representations, Quantum Optimal 

Control. 

ISBN: 978-1-61804-148-7 13


Plenary Lecture 1 

Petri Nets Saliency Models of Multiple Biological Sequences 

Associate Professor Calin I. Ciufudean 

“Stefan Cel Mare” Universtity of Suceava 

Faculty of Electrical Engineering and Computer Science 

Department of Automatics and Computers 

ROMANIA 

E-mail: calin@eed.usv.ro 

Abstract: In medicine, computational biology, pattern recognition, string editing and data compression, to name a 

few research areas, large amounts of data are extracted, pre-processed, selected and classified in order to perform 

the diagnosis. The classical visual analysis of such a quantity of data is no longer possible, therefore computers are 

involved in this process and thus, automated systems that recognize biological features have been in use for several 

years. 

There is a strong demand for the development of such automated algorithms and devices, due to the improved video 

and biological computation techniques that avoid the possibility of the analyst missing/misreading information. Within 

heuristic approaches there are a number of methods for identifying important input features. Such methods are 

considered saliency ones mainly due to the fact that they can intuitively model and simulate the mechanisms and 

signals used in computational biology. Recently, the general problem of selecting a parsimonious salient feature set 

for computational biology has retained a great deal of interest. 

One may notice that non-salient features may reduce the diagnosis accuracy and even make it a NP-hard problem 

considering that, as the number of features grows, the number of training samples grows exponentially. In order to 

reduce the size of the extracted input feature samples we focus on determining the longest common subsequence 

(LCS) for a set of multiple string-sequences in an operation for a wide range of applications in the areas mentioned 

above. 

This presentation is focused on the improvement of the automated medical diagnosis based on biological feature 

(BF) selection and classification, as we know that biological features represent patterns of important information. 

Medical diagnostic can be improved if the pattern is comprised by most of the significant biological features. In our 

study, common sequence measures were employed to determine the saliency of a wide range of applications in the 

area of medicine, computational biology, as well as string editing, pattern recognition and genetics etc. We assume 

that an important common sequence salience measure is to find the longest common subsequence (LCS) for a set of 

n sequences. In order to perform this hard task, we use discrete event formalism, respectively Petri nets and we 

propose an algorithm for reducing the size of the digraphs. 

An interesting application to the ECG signals will demonstrate that salient input features effectively aid the diagnosis 

process. 

Brief Biography of the Speaker: • Academic Positions: Assoc. Professor Ph.D. Eng., Dept. of Automatics and 

Computers, Faculty of Electrical Engineering and Computer Science, “Stefan cel Mare” University of Suceava, 

Romania. 

• Fields of Scientific Activities: Discrete Event Systems, Complex Measurement Systems, Reliability and Diagnosis of 

Control Systems, Environmental Management. 

• He published 8 books and over 120 scientific papers in conference proceedings and journals. 

• Honor Member of the Romanian Society of Electrical & Control Engineering - Member of the Romanian Technical 

Experts Corp. 

• Technical Expert of the Romanian Ministry of Justice. 

• President of the Romanian Society of Electrical & Control Engineering, Suceava Branch. 

• He is a member of the editorial boards of several international scientific journals and conferences of control systems 

and electric engineering science. He was designated chairmen at 23 international conferences. 

ISBN: 978-1-61804-148-7 14



One Hexagonal Systolic Array Synthesized on the Adaptable Algorithm 

Professor Dragan Randjelović 

Department of Police sciences 

Scientific field-Information technologies 

Academy for criminalistic and police studies 

Zemun, Serbia 

E-mail: dragan.randjelovic@kpa.edu.rs 

Abstract: In this paper is discussing definitions and procedures for parameters determination of systolic arrays (SAs) 

which are suitable for regular 3-nested loop algorithms(this type of algorithm has calculations given by 

homogeneous linear relations in nested loops of index variables) implementation and between these especially 

defined special class so called adaptable algorithms. Namely, if we want to choose the most suitable SA for this 

adaptable algorithms, it is good to know their characteristics in advance, before their design and synthesis. In 

literature, we can find definitions of big number of space-time characteristics (objective functions) SA-s and their 

determination procedures and the authors choose his own procedure. 

Objective of this paper is to consider one of time parameters, flow period of processor, in notation tp, and reciprocal 

dependency between time and space characteristics. Obtained results are illustrated trough the example of two 

rectangular matrix multiplication as one typical adaptable algorithm and especially its realization with one hexagonal 

SA for projection direction =[111]T which enables calculation of high dependability. 

Brief Biography of the Speaker: Dragan Randjelovic born in 1953 in Niš, Serbia. 

Married with Ratomirka has two sons Milan and Miloš. He graduated from the University of Niš, Faculty of Electronic 

Engineering, Serbia in 1977. as MsC - electronic engineer in the field of Informatics and Automation. From 1980. until 

1996. he worked in Development Research Institute of Electronic Industry Corporation in Niš as researcher then 

laboratory manager and general manager of Factory of computers. In this period he finished second degree of 

education as Magister of Science in the field of Applied Mathematics at Faculty of Electronic Engineering, University 

of Niš,Serbia in 1984. also He taked his exams for planning engineer specialized in the field of informatics and 

automation in1991. He is assistant from 1997. until 1999. at the University of Priština, Faculty of agriculture, Serbia . 

After he finished his doctoral education as Doctor of Mathematical Sciences, Faculty of Science University of 

Prishtina, Serbia, in 1999. he worked as docent from 2000. until 2004. and associate professor at University of 

Priština, Faculty of agriculture, Serbia . From 2009. and today he is associate professor in Academy for criminalistic 

and police studies , Belgrade, Serbia. His focus are in systolic arrays as parallel computer architecture, multiple 

criteria decision and digital forensics. He is author of about 100 scientific titles from wich more than 70 published in 

international journals and conference proceedings. 

ISBN: 978-1-61804-148-7 15



Evolutionary Algebraic Prediction of Short Time Series 

Professor Minvydas Ragulskis 

Research Group for Mathematical and Numerical Analysis of Dynamical Systems 

Faculty of Fundamental Sciences 

Kaunas University of Technology 

Lithuania 

E-mail: minvydas.ragulskis@ktu.lt 

Abstract: An overview on the new class of short-term time series forecasting methods based on the identification of 

skeleton algebraic sequences is given in this presentation. The concept of the rank of the sequence and the algebraic 

complexity of the observation are exploited to detect the base fragment of the time series and to extrapolate the 

model of the process into future. Evolutionary algorithms are used to remove the noise, to identify the skeleton 

algebraic sequence and to balance the forecast with the smoothed moving average estimate of the time series. The 

fitness functions exploited in the proposed forecasting technique are independent neither on the determinant of the 

Hankel matrix, nor on the error metrics. Numerical experiments with an artificially generated and real-world time 

series are used to illustrate the functionality of the proposed techniques. The proposed forecasting methods are 

especially effective when the time series is short and there are not always sufficient data to train evolutionary models. 

Brief Biography of the Speaker: Minvydas Ragulskis graduated from Kaunas University of Technology, Department 

of Applied Mathematics, Lithuania in 1989. He received his Ph.D. degree in 1992 and took the position of the 

assistant professor at the Department of Mathematical Research in Systems, Kaunas University of Technology in 

1997. Since 1999 he took the position of the associated professor, since 2002 – the position of full professor at the 

same department. 

He is the founder and the head of the Research Group for Mathematical and Numerical Analysis of Dynamical 

Systems (www.personalas.ktu.lt/~mragul). Four graduate students under his supervision have successfully defended 

their doctoral thesis; four graduate students study under his supervision at this moment. He is author of more than 80 

papers in international journals and conference proceedings, and invited book chapters. He serves as a reviewer for 

numerous international journals and is a member of editorial boards of several journals. His research interests include 

nonlinear dynamical systems and numerical analysis. 

ISBN: 978-1-61804-148-7 16



Reduction Method for the Solution of Weakly Singular Integro-Differential Equations 

Professor Iurie Caraus 

Faculty of Mathematics and Informatics 

Moldova State University 

Chisinau, MOLDOVA 

E-mail: ciurie.caraus@gmail.com 

Abstract: Approximation of functions of a complex variable by various finite-dimensional aggregates is an important 

problem not only in constructive function theory and approximation but also in the justification of direct approximate 

methods for functional equations. This problem has been well studied for the case of functions defined on standard 

contours (a straight line segment, the unit circle, and so on). In the case of an arbitrary closed smooth contour Γ in 

the complex plane, the problem is less studied. It should be noted that conformal mapping from the arbitrary smooth 

closed contours to the unit circle does not solve the problem. Moreover, it makes more difficulties: 

• The coefficients, kernel and right part of the transformed equation lose their smoothness; 

• The power of smoothness appears in convergence speed of collocation method. So that the evaluations of 

convergence speed will depend from particular contour; 

• The numerical schemes of researched methods become more difficult. The singularity appears in new kernel and 

we are not able to use the numerical schemes of mechanical quadrature method because of a singularity for new 

kernel. 

We suggest the numerical schemes of the reduction method over the system of Faber-Laurent polynomials for the 

approximate solution of weakly singular integro- differential equations defined on smooth closed contours in the 

complex plane. We use the cut-off technique kernel to reduce the weakly singular integro- differential equation to the 

continuous one. Our approach is based on the Krykunov theory and Zolotarevski results. 

We obtain the theoretical justification in Generalized Holder spaces. 

Brief Biography of the Speaker: From 1996 Dr. Iurie Caraus started working at the Faculty of Mathematics and 

Informatics, Moldova State University. 

From 2004-2011, Dr. Iurie Caraus was Associate Professor at the Faculty of Mathematics and Informatics, Moldova 

State University, Chisinau. 

In 1998 he obtained PhD in Numerical Mathematics. 

Visiting Universities 

• October 2010- July 2011, Fulbright Scholar, Department of Mathematics, NC State University, Raleigh, USA; 

• August 2010-September 2010,University of Boudreaux1, France; 

• August 2009-August 2010, PostDoc, Center of Mathematics and Application, Lisbon, Portugal; 

• May 2007-August 2008, Visiting Researcher, Department of Computer Science, Leuven, Belgium; 

• April 2006-June 2006 Junior Visiting Researcher, Department of Mathematics and its Applications, Central 

European University, Budapest, Hungary; 

• February 2005- August 2005 Visiting Researcher, Department of Mathematics and Informatics, University of Trieste, 

Trieste, Italy; 

• 15.09.04-14.12.04 Visiting Researcher, Technische Universitat; 

• Faculty of Mathematics, Chemnitz, Germany, DAAD scholarship; 

• January 2003-April 2003 Visiting Researcher, NC State University, Department of Mathematics, Raleigh, USA. 

Fields of Scientific Interests Collocation Methods, Cauchy Singular Integral Equations, Finite Elements Methods, 

Optimization, Information Security, Mathematical Economics 

Publications: more than 40 articles in journals and proceedings, 3 didactical materials 

ISBN: 978-1-61804-148-7 17



Robust Video Object Detection and Tracking Techniques 

Professor Tudor Barbu 

Institute of Computer Science 

Romanian Academy, Iasi branch 

Romania 

E-mail: tudbar@iit.tuiasi.ro 

Abstract: Video object detection and tracking represents an important computer vision domain that has been vividly 

researched in the last decades. It has promising applications in numerous important fields, such as video 

compression, video surveillance, human-computer interaction, video indexing and retrieval, medical imaging, traffic 

monitoring, augmented reality and robotics. Obviously, it consists of two closely related processes. The first one, 

video object detection involves locating an image object in theframes of a video sequence, while the second one, 

video tracking, represents the process ofmonitoring the video object spatial and temporal changes during the 

moviesequence, including its presence, position, size and shape.While an object detection algorithm identifies image 

objects in video frames, an object tracking procedure must solve the temporal correspondence problem that is the 

task of matching the target object in successive frames. 

Numerous video detection and tracking technologies have been developed inrecent years. Object detection can be 

performed through various approaches, such as:region-based image segmentation, background subtraction, 

temporaldifferencing, active contour modelsand the generalized Hough transforms.Video tracking techniques are 

based on Kalman filtering, Hidden Markov Models, optical flow, template matching, mean-shift trackingand contour 

tracking.Objecttracking is often a time consuming process due to the amount of data contained by video streams. 

Also, video tracking represents a difficult process, becausevarious factors such as abrupt object motion, object 

occlusions or camera motion. There are various types of tracking, depending on the target object character (static or 

moving) and the camera (fixed or moving). 

We approached the object detection and tracking domain in our previous works, developing some robust detection 

and tracking techniques for both static camera and moving camera videos. Thus, we proposed several automatic 

temporal-differencing based moving object detection approaches for fixed camera video sequences. The object 

tracking was performed using template matching and various object featuring methods. We used HOG-based, 

normalized cross-correlation based and 2D Gabor filtering based features for this purpose. Also, we considered video 

tracking approaches which are able to track successfully both the static and moving objects, in both static-camera 

and moving camera videos. Thus, we developed a novel semiautomatic object tracking technique based on an 

improved N-Step Search algorithm and a HOG-based feature extraction. Human detection and tracking, representing 

an important sub-domain of object detection and tracking, is also widely approached in our research. 

Brief Biography of the Speaker: Dr. Tudor Barbu is currently Senior Researcher II at the Institute of Computer 

Science of the Romanian Academy, in Iasi, Romania. He is the coordinator of the Image and Video Processing and 

Analysis research collective of the institute and also member of the leading Scientific Council of this institute. Mr. 

Barbu has a PhD degree in Computer Science, awarded by the Faculty of Automatic Control and Computers of the 

University “Politehnica” of Bucharest. 

He has a remarkable research profile. In the last decade he published two books and four book chapters as single or 

main author. Also, dr. Tudor Barbu published more than 65 articles in prestigious international journals and volumes 

of international scientific events (conferences, symposiums and workshops). His prolific scientific activity also 

includes more than 35 research reports, elaborated with the institute research team coordinated by him or related to 

various research projects. His scientific publications have got over 70 citations, according to Google-Academic. 

In recent years he also coordinated various research directions in 6 projects based on contracts/grants. Dr. Tudor 

Barbu received also several awards for his research results, the most important being the Romanian Academy Prize 

“Gheorghe Cartianu”, in the Information Science and Technology domain, awarded on December 18, 2008. He is 

member of several conference scientific committees and also member of scientific and technical committee and 

editorial review boards of some journals. He is the Editor in Chief of a book. His main scientific areas of interest are: 

digital media (audio, video and image) signal processing and analysis, pattern recognition, computer vision, 

multimedia information storage, indexing and retrieval, and biometric authentication using voice, face and digital 

fingerprint recognition. 

ISBN: 978-1-61804-148-7 18



Exploring The Effects Of Task Difficulty and Team Diversity on Team Creativity: A Multi- 

Agent Simulation Approach 

Professor Kun Chang Lee 

SKK Business School and Department of Interaction Science 

Sungkyunkwan University 

Seoul 110-745, South Korea 

E-mail: kunchanglee@gmail.com 

Abstract: There is no single organizational structure that is highly effective for all organizations. In order to be 

effective, the organization needs to tailor its activities to the environment in which is it located. Based on contingency 

perspectives, this study is focused on investigating effective ways to design team diversity and maximize team 

creativity according to the level of task difficulty. Considering the organizational team member as an agent, the study 

employed a multi-agent simulation method to understand the progress of creative manifestation, by observing the 

exploration and exploitation activity of team members with the passage of time. The results suggest that managers 

differentiate strategies of team diversity according to task difficulty. In the case of a difficult task, managers need to 

increase team diversity so that their teams can maximize team creativity through rigorous exploration and 

exploitation. It is desirable to maintain an average level of team diversity when performing an easy task. 

Brief Biography of the Speaker: Dr. Kun Chang Lee is a full professor of MIS at SKK Business School at 

Sungkyunkwan University, South Korea. He also holds a WCU (World Class University) professor position at 

Department of Interaction Science at the same university. He received his PhD degree in MIS from KAIST (Korea 

Advanced Institute of Science and Technology). He is on the editorial board at several international journals such as 

Online Information Review (SSCI), Scientia (SCIE), Journal of Universal Computer Science (SCIE), and Information 

(SCIE). He conducted as a guest editor at Decision Support Systems. Now he is organizing special issues in Online 

Information Review (SSCI), Electronic Commerce Research and Applications (SSCI), and Computers in Human 

Behavior (SSCI), all of which are going to publish in 2012-2013. He has presented his papers regularly in a number of 

prestigious international conferences like HICSS (Hawaii International Conference on System Sciences), AMCIS 

(Americas Conference on Information Systems), and ICIS (International Conference on Information Systems). 

Professor Lee is an internationally recognized authority on decision support, ubiquitous computing, intelligent 

systems, and creativity science. His publication records include over 150 articles in scholarly and professional 

journals. Refer to http://academic.research.microsoft.com/Author/957772/kun-chang-lee for more details on Professor 

Lee's academic records. He has contributed to a number of international conferences as a program committee 

member; it includes CONTEXT (International and Interdisciplinary Conference on Modeling and Using Context), 

ACIIDS (Asia Conference on Intelligent Information and Database), WORLDCOMP (World Congress in Computer 

Science, Computer Engineering, and Applied Computing), UCMA (International Conference Ubiquitous Computing 

and Multimedia Applications), UBICOMM (International Conference on Mobile Ubiquitous Computing, Systems, 

Services and Technologies), PACIS (Pacific Conference on Information Systems), IASTED International Conference 

on Artificial Intelligence and Applications, International Conference on Intelligent Systems and Control, International 

Conference on Ubiquitous Information Management and Communication, IASTED International Conference on 

Computational Intelligence, International Workshop on Improved Mobile User Experience (IMUx), and IADIS 

International Conference on Information Systems, among others. Since 2006-2009, he initiated collaborative 

researches on intelligent decision makings with Waseda University, Japan. He is frequently invited by many 

companies to help direct the development of intelligent decision support systems and to deliver lectures on decision 

making to their executives. Last year, he was invited by Harvard Kennedy School as Rajawali visiting fellow to 

conduct researches on creativity and organize seminars on the related issues. He is the recipient of numerous 

research funds from Korean Government to continue his studies on creativity, and ubiquitous decision support 

systems. Dr. Lee is capable of integrating intelligent techniques and behavioral research framework to create a new 

paradigm of researches on complexity and creativity. In line with this motif, he has recently adopted using multi-agent 

simulations and brain informatics, obtaining a number of pioneering results that seem useful and meaningful in terms 

of both practical and academic sense. As for introducing his pioneering works to practitioners working at banking 

industry, he gave lectures to staffs and faculties at The World Bank, Washington D.C., US. 

ISBN: 978-1-61804-148-7 19


Authors Index 

Abd Rashid, N. R. 280 Huh, E.-N. 200, 206 Neokosmidis, I. 189 

Abdullah, F. 298 Huysmans, P. 316 Nitisopa, W. 79 

Al-Absi, H. R. H. 212 Ibrahimov, V. R. 109 Nivedha, A. S. 133 

Alaci, S. 84 Imanova, M. N. 109 Omar, M. H. 234 

Al-Dosary, K. 43 Ionel, O. 245 Ooi, K. T. 99 

Alobaedy, M. M. 47 Iracleous, D. P. 189 Palivonaite, R. 53 

Alwan, H. B. 165 Ismail, A. 298 Para, I. 304 

Andreu, J. 267 Ismail, M. 280 Park, N. 161 

Badri Shah, N. S. 280 Janků, P. 218 Pedas, A. 127 

Ballarin, A. 228 Jašek, R. 222 Pirvan, M. 73 

Barbu, C.-M. 274 Khan, M. 195 Popescu, I. 249 

Barbu, T. 145, 156 Kolek, J. 218, 222 Porfírio, J. A. 326 

Bayeh, C. Z. 21, 105, 115 Konečný, A. 255 Radulescu, M. 89 

Benazeer, S. 316 Kong, K. S. 99 Ragulskiene, J. 53 

Boscoianu, E. C. 89 Koppitz, D. 261 Ragulskis, M. 53 

Cano, S. 267 Krimnianioti, M. 286 Randjelovic, D. 27, 33 

Capusneanu, S. 274 Křížová, Z. 255 Rares, H. 286 

Cardona, J. M. 267 Ku Mahamud, K. R. 47, 165 Režňáková, M. 261 

Chandrasekaran, S. 133 Ku Mahamud, K. R. 177, 298 Ricci, F. 121 

Chang, J.-J. 292 Lee, G.-W. 206 Românu, I. 84 

Ciornei, F. 84 Licea, G. S. 150 Rosenblueth, J. F. 139, 150 

Ciufudean, C. 84, 89, 95 Lin, Y.-C. 292 Samir, B. B. 212 

Coca-Stefaniak, A. 286 Luca, L. 249 Şandru, V. 89 

Coletta, S. 228 Mahmuddin, M. 177 Sarri, S. 310 

Concas, G. 121, 228 Mamode Khan, N. A. 195 Sedláček, J. 255 

Croitoru, A. 37 Mannaert, H. 316 Sorina, I. 274 

De Beuckelaer, A. 316 Marusic, G. 95 Srijuntongsiri, G. 79 

Di Francesco, M. 228 Mastorakis, N. E. 21, 105, 115 Tengku Sembok, T. M. 59 

Dovras, T. 189 Mat Kasim, M. 298 Tonelli, R. 121 

Efremidis, O. B. 189 Mcdonald, O. 286 Vaideanu, C. 37 

Elias, D. M. 239 Mehdiyeva, G. Y. 109 Vařacha, P. 218, 222 

Fedaravicius, A. 53 Minhat, M. 239 Verelst, J. 316 

Filote, C. 84, 95 Mohamed Arif, A. S. C. 234 Vikerpuur, M. 127 

Ghimisi, S. 249 Mohamed Din, A. 177 Vinodhini, A. 133 

Ghionea, F. 73 Mohd Tamrin, M. I. 59 Xenidis, Y. 310 

Habbal, A. M. M. 234 Mussi, S. 171 Yusof, Y. 177 

Hassan, S. 234 Na, S.-H. 200, 206 Yusof, Y. 239 

Hubalovska, M. 183 Naghi, R. I. 304 Zinecker, M. 261 

Hubalovsky, S. 183 Nakagiri, S.-I. 65 

ISBN: 978-1-61804-148-7 333

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